Please generate a comprehensive schematic diagram of a top-tier academic algorithm architecture, with a professional, rigorous style, high information density, and clear visual hierarchy, tailored to the layout specifications of leading journals in the field of industrial intelligence/distributed systems. Overall Layout: Employ a three-module联动式 layout, with the left, center, and right modules corresponding to the "Entity Layer - Algorithm Layer - Effect Layer," respectively. Connect the modules with directed arrows with semantic annotations to indicate data/decision flow. Left Module: GRCR Multi-Level Spatiotemporal Heterogeneous Graph (Physical Resources - Heterogeneous Services Layer) Elements: Physical Resources: Represent industrial server clusters and edge nodes with rack icons, labeled "Physical Resources (Industrial Servers/Edge Nodes)"; Heterogeneous Services: Represent microservice instances with hexagons and AI model service containers with "rectangles with neural network topology identifiers," labeled "GRCR: Heterogeneous Services (Microservices/AI Model Containers)"; Associations: Use colored directed edges to distinguish dependency types—blue edges represent "resource allocation dependencies," and green edges represent "service instance interaction dependencies," labeled "Spatiotemporal & Resource Dependencies"; Color Scheme: Light gray background + industrial blue/dark green cool-toned entities to ensure differentiation and conform to academic aesthetics. Center Module: Graph-Enhanced Hierarchical DRL Core Framework Top Title: Boldly label "Graph-Enhanced Hierarchical DRL Framework"; Upper Layer: Multi-Channel Dynamic Spatiotemporal Graph Attention Network (AM-DySAT) Split into 3 parallel channels: resource channel (light blue block), service interaction channel (light green block), and task temporal channel (light orange block); Within each channel, use "circular nodes with attention weight (ω identifier)" to display the feature capture process, labeled "AM-DySAT: Capture Implicit Hierarchical Features & Correlation Weights"; Middle Layer: Hierarchical DRL Module Use a branching decision tree structure to distinguish "microservice deployment," "AI service deployment," and "request scheduling" branches, with arrows showing the joint optimization logic, labeled "Hierarchical DRL: Joint Deployment & Scheduling"; Lower Layer: Request Chain Parallel Stream Reconstruction Contrast the "original unidirectional serial stream (dashed arrow)" with the "reconstructed parallel stream (solid multi-directional arrow)," labeled "Parallel Streaming Reconstruction: Break Delay Accumulation Bottlenecks."
Technical system architecture diagram: Automatic landing air...